Implementation of CUDA-based loop mesh subdivision

This source preferred by Jian Chang and Jian Jun Zhang

Authors: Wang, M., Lv, H., Chang, J. and Zhang, J.J.

Start date: 16 November 2010

Publisher: Institute of Electrical and Electronics Engineers, Inc.

Place of Publication: Chengdu, China

ISBN: 9781424472246

This work describes the implementation of Loop Subdivision on the GPU using CUDA. In order to achieve this, we have constructed face neighbours for Loop Subdivision using local triangulatation information, fully utilizing the single instruction, multiple threads (SIMT) and Pinned memory of GPU. This scheme can avoid the restrictions of traditional GPU programming. Traditional GPU applications are difficult to implement, maintain and are confined to the complexity of models. Our experiments show that real-time subdivision can be implemented for most of the models including the complex ones. Our proposed scheme could significantly speed up the computations.

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